Neural Networks as Surrogate Models for Measurements in Optimization Algorithms.
Martin HolenaDavid LinkeUwe RodemerckLukás BajerPublished in: ASMTA (2010)
Keyphrases
- neural network
- genetic algorithm
- discrete optimization
- combinatorial optimization
- optimization problems
- computationally efficient
- learning algorithm
- data structure
- stochastic search
- optimization methods
- times faster
- theoretical analysis
- orders of magnitude
- approximately optimal
- benchmark datasets
- artificial neural networks
- back propagation
- computational efficiency
- computational cost
- np hard
- recently developed
- significant improvement
- evolution strategy
- computational complexity
- optimization criteria
- optimization approaches
- pattern recognition